Autonomous Multi-Asset Trading Intelligence System
OmniBot watches markets 24/7 and finds actionable trading signals that humans would miss — or catch too late. 9 data sources, 9 signal engines, AI-powered analysis, and risk-managed execution across 4 asset classes.
OmniBot detects cross-venue arbitrage on prediction markets, clusters of insider buying on equities, unusual options sweep activity, and smart money movements on Solana. Every signal is scored, analyzed, and delivered as a structured alert with a verdict, rationale, risk factors, and conviction score.
Nothing trades real money until it earns the right. Every signal engine must prove profitability through paper trading before it graduates to live execution — with kill switches, budget caps, and automatic stop-losses on every position.
| Connector | Source | What It Captures |
|---|---|---|
| Kalshi | Prediction market | Open contracts, yes/no pricing, volume, liquidity |
| Polymarket | Prediction market | CLOB orderbook data, cross-venue pricing |
| Alpaca | Stock broker | Real-time quotes, account state, order execution |
| SEC EDGAR | Regulatory filings | Form 4 insider transactions within minutes of filing |
| Unusual Whales | Options flow | Sweep orders, large blocks, unusual volume |
| Polygon | Options data | Greeks, IV surface, historical chains |
| Helius | Solana RPC | Wallet transactions, token transfers, on-chain events |
| Nansen | Wallet intelligence | Smart money labels, wallet profitability scores |
| Twitter/X | Social sentiment | Mention velocity, sentiment shifts, influencer activity |
Each engine processes raw data and outputs scored, actionable trading signals.
Scores each signal using source reputation, freshness decay, and cross-source confirmation. When multiple independent engines agree on the same trade, the signal gets boosted.
Tracks historical accuracy of each signal source. Sources that produce winners gain weight. Sources that produce losers get downweighted over time.
Top-ranked signals receive structured analysis producing a verdict, rationale, risk factors, and conviction score for every alert.
Analysis is budget-capped with automatic fallback to raw scoring if unavailable. The system never stops running.
Risk-managed trading with multiple safety layers.
| Asset Class | Data Sources | Signal Engines | Execution |
|---|---|---|---|
| Prediction Markets | Kalshi, Polymarket | Cross-Venue Arb, Mispricing | Kalshi API, Polymarket CLOB |
| Equities | SEC EDGAR, Congress | Insider Momentum, Congress Follow | Alpaca broker |
| Options | Unusual Whales, Polygon | Sweep Detector, Unusual Activity | Alerts only (manual) |
| Memecoins | Helius, Nansen, Twitter | Smart Money, Pump, Velocity | DEX execution (Solana) |
| Metric | Value |
|---|---|
| Language | Python 3.12 |
| Architecture | Async (asyncio + uvloop) |
| Source Files | 144 |
| Lines of Code | 26,300+ |
| Automated Tests | 858 |
| Test Pass Rate | 100% |
| Audit Rounds | 9 |
| Known Bugs | 0 |
| Connectors | 9 |
| Signal Engines | 9 |
| Ingestion Watchers | 7 |
| API Endpoints | 14+ |
| State Persistence | Redis (Upstash, TLS) |
| Broker | Alpaca (paper + live) |
| Alert Delivery | Telegram (approve/reject buttons) |
OmniBot was built entirely through human-developer pair programming — designed, coded, tested, and audited in a structured Plan-Apply-Unify workflow with test-first development principles. Every module was built with automated tests, every change verified against acceptance criteria, and the complete codebase underwent 9 rounds of deep security auditing until zero issues remained at any severity level.
No templates. No boilerplate. No copy-paste. 26,000 lines of purpose-built trading infrastructure from the ground up.
Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. OmniBot is a signal detection and analysis system — all trading decisions carry risk. The creator assumes no responsibility for trading losses. This product is not financial advice. Trade at your own risk.